2016
DOI: 10.1007/s00376-016-5272-2
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Impacts of two types of El Niño on the MJO during boreal winter

Abstract: The features of the MJO during two types of El Niño events are investigated in this paper using the daily NCEP-2 reanalysis data, OLR data from NOAA, and Real-time Multivariate MJO index for the period 1979-2012. The results indicate that the MJO exhibits distinct features during eastern Pacific (EP) El Niño events, as compared to central Pacific (CP) El Niño events. First, the intensity of the MJO is weakened during EP El Niño winters from the tropical eastern Indian Ocean to the western Pacific, but enhanced… Show more

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Cited by 26 publications
(24 citation statements)
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References 31 publications
(44 reference statements)
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“…This enhanced circulation changes the vertical temperature structure, which can alter the static stability of the upper troposphere/lower stratosphere, which impacts tropical convection anomalies. However, as MJO activity is also modulated by different phases of ENSO (e.g., Marshall et al, 2016;Pang et al, 2016;Pohl & Matthews, 2007) and different phases of the QBO (e.g., Son et al, 2017;Yoo & Son, 2016), disentangling connections from high-latitude processes to tropical convection remains difficult.…”
Section: Results: Causal Graphsmentioning
confidence: 99%
See 1 more Smart Citation
“…This enhanced circulation changes the vertical temperature structure, which can alter the static stability of the upper troposphere/lower stratosphere, which impacts tropical convection anomalies. However, as MJO activity is also modulated by different phases of ENSO (e.g., Marshall et al, 2016;Pang et al, 2016;Pohl & Matthews, 2007) and different phases of the QBO (e.g., Son et al, 2017;Yoo & Son, 2016), disentangling connections from high-latitude processes to tropical convection remains difficult.…”
Section: Results: Causal Graphsmentioning
confidence: 99%
“…Similar predictability was found when looking at output from the Global Environmental multiscale model for connecting the MJO to the NAO (Lin et al, ). Other studies suggest that the connections between the MJO and the NAO may also be a function of other modes which affect the tropospheric waveguide, including the phase of the El Niño–Southern Oscillation (ENSO; e.g., Pang et al, ; Roundy et al, ) and/or the Quasi‐Biennial Oscillation (QBO; e.g., Son et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…The QBO is denoted by the reversal of 10-100-hPa equatorial zonal winds between westerly and easterly every 28 months, approximately (Baldwin et al 2001), while ENSO is associated with anomalously warm (El Niño) and cold (La Niña) conditions in the tropical Pacific with a period of 2-8 years (Deser et al 2010). Recent studies have shown that the strength and predictability of the MJO may be modulated by the QBO (Pang et al 2016;Yoo and Son 2016;Son et al 2016). The tropical deep convection during the QBO easterly phase (QBOE) has been found to be much stronger than that during the westerly phase (QBOW), because of different tropopause height, temperature, vertical wind shear, and associated static stability (Collimore et al 2003).…”
Section: Introductionmentioning
confidence: 99%
“…The MJO's strength in the western Pacific is correlated with the eastern extension of the Warm Pool's eastern edge (Kessler 2001;Liess, Bengtsson, and Arpe 2004); and during warm ENSO phases, the convection of the MJO can penetrate further into the central Pacific (Gualdi, Navarra, and Tinarelli 1999;Moon, Wang, and Ha 2011;Liu et al 2016aLiu et al , 2016b. The intensity of the MJO from the tropical eastern Indian Ocean to the western Pacific is weakened during eastern-Pacific El Niño winters, but enhanced during central-Pacific El Niño winters (Feng et al 2014;Pang et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…5) with several ENSO indices in antecedent winter and spring, the ENSO Modoki (Ashok et al, 2007) in spring (also called the central Pacific ENSO) (cf. Feng et al 2015;Pang et al 2016), and the indices of BFA in June (YT11 and YT14). Additionally, we estimated the correlation with the interannual variation of SCS-SM onset date, which was estimated using ERA-Interim data through the definition of Wang et al (2004).…”
Section: Interannual Variability Of Bfa-m and Its Controlling Factorsmentioning
confidence: 99%